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Hand detection using facial information

Authors
Han, S.Park, S.Kim, M.-J.Paik, J.
Issue Date
Oct-2016
Publisher
IEEE Computer Society
Keywords
Hand detection; Human computer interaction
Citation
IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, v.2016-October, pp 167 - 168
Pages
2
Journal Title
IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Volume
2016-October
Start Page
167
End Page
168
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48424
DOI
10.1109/ICCE-Berlin.2016.7684746
ISSN
2166-6814
Abstract
This paper presents a robust hand detection algorithm using the facial information. The proposed algorithm consists of four steps: (i) detection of a face, (ii) generation of regions of interest (ROI) to detect hands, (iii) skin color extraction from the face region, and (iv) detection of hands using the face skin color in the ROI. The proposed algorithm can reduce false detection caused by a similar skin color, and provides a successful detection rate up to 92 percent.
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첨단영상대학원 (영상학과)
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